Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

memorable emoji experiment #7

Open
dominictarr opened this issue Jan 6, 2015 · 1 comment
Open

memorable emoji experiment #7

dominictarr opened this issue Jan 6, 2015 · 1 comment

Comments

@dominictarr
Copy link
Collaborator

In a secure communication system, it is necessary at some point to verify keys.
Usually, this is represented as text key encoded as letters, hex, base32, base58 or maybe base64. Since a hash is a lot to deal with, often the hash is truncated to be easier for humans to process. (it's important not to truncate too much, or security will be lost https://evil32.com/ )

Humans have an approximately fixed capacity to remember things, and so when looking at a finger print, how many bits are they actually remembering? Since it seems the way humans work is they can remember (say) 7 things, but there is not a limit on the size of the set the 7 things are picked from. They could just as easily remember 7 animals as 7 digits.

Thus, to exand the security property of the user interface, if key fingerprints are displayed in a denser format (such as base emoji) then humans ought to be able to remember more bits, and thus have more secure fingerprints.

I want to test this in an experiment - i figure, a web page test subjects visit, and it associates keys with user names - then an attacker is simulated, where the subject must flag invalid keys that partially collide with their known keys.

The question is: does the detection success vary in proportion to encoding, and collision length?

@jbenet would love your ideas on this.

So far I have been unable to find any research on the usability of key fingerprints.

@dominictarr
Copy link
Collaborator Author

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant